Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2024!

State specific pay scales for this role are as follows:

$115,576 to $219,506 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$105,069 to $199,551 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$94,562 to $179,596 (UT, ID, MT, NM, SD, SE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Position Summary:

As a Lead Analytics Engineer you will create highly-scalable production data pipelines for our advanced analytics and data science teams – as well as perform ad-hoc analyses for personnel in less technical functions – to use every day to evolve our business. The Lead Analytics Engineer will design, evaluate, and test data infrastructures and be a subject matter expert for all things data across the organization.

Essential Job Functions:

Work closely with the Data Science team to perform complex analytics and data preparation tasks

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across all departments, all products, and all states.

Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.

The Lead Analytics Engineer is an expert in all datalakes, data warehouses, and data cubes within Mercury, with no gaps in knowledge. Can efficiently and accurately extract and manipulate data from any source.

Collaborate with teams of data analysts and data scientists, who research and integrate algorithms to develop solutions to address complex data problems. Influence all functions across the organization to identify data opportunities to drive profitable growth. Proactively identify pain points that Analytics & Data Science face with our existing data models.

Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends and correlate similar data sets. Designs, develops and implements natural language processing software modules.

Other functions may be assigned

Education:

• Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or related field

• Or equivalent combination of education and/or experience

Experience:

5 or more years of experience in data analytics, analytics engineering, data engineering, and/or data science.

3 or more years experience in P&C insurance, preferred, but not required

Knowledge and Skills:

• Experience working with SQL and Python to build data pipelines and perform analyses

• Experience with AWS (S3, EC2), Unix/Shell scripting

• ETL/ELT experience: e.g. dbt, informatica, fivetran, etc.

• Experience with a variety of relational and non-relational databases and data sources

• Familiarity with data pipeline orchestration frameworks and related tools a plus (e.g. dbt)

• Familiarity with CI/CD best practices

• Expert data skills and the ability to work with large structured and unstructured data sources

• A high-level specialist who regularly interacts and works with senior management.

• Expert at analyzing data to identify gaps and inconsistencies

• The ability to think conceptually, analytically and creatively; comfortable with ambiguity.

• Experience managing and communicating data plans and data models to internal clients.

• Demonstrated solid understanding, and passion for, all areas of data/analytics engineering best practices.

• Demonstrated expert skills in data mining and data analytics

• Solid experience with cloud-based advanced data and analytics environment

• Excellent problem-solving skills required

• Excellent analytical and critical thinking required

• Excellent written and verbal communication skills required

• Demonstrate Company’s Core Values

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn more about us here: https://www.mercuryinsurance.com/about/careers

We offer many great benefits, including:

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, paid Company holidays, and volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Mercury Insurance is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.